To sum up: software engineer Adly Thebaud posits two reasons why AI isn't going to be taking any jobs away anytime soon:
1. AI can observe, but not intuit. Thebaud says:
Observational learning is mimicry, cause and effect, positive and negative outcomes. It is this type of learning that all large language models (LLMs) are based on that fuels popular AI products like ChatGPT, Claude etc.
Intuitive learning is "gut feeling". It's that inexplicable sentiment that transcends multiple senses and instructs humans what or what not to do.
AI is terrible at intuition, and its best attempts at it lead to hallucinatory answers that are far from the truth.
AI isn't "smart" in that it has a sense of right from wrong. It merely uses probability to figure out what the best answer is in response to your question.
My wife mentions this, which I think is pertinent to some circles: AI lacks the "light of Christ," defined here. (If religion scares you, don't click on the link.)
2. AI has trouble seeing the big picture. Thebaud says:
It'll always be the engineer who is smarter than the AI, not because the engineer knows more, but the engineer knows how it all is supposed to work.
And when things break, whether it's the code or the AI itself, it will be the engineers who will know how to fix it, because they see the big picture.
Though he's looking at this from a software engineer perspective, I think it's fair to say that in pretty much any application, it's the writer, the artist, the novelist, etc. who knows more, and knows how it's all supposed to work because the human in general can see the big picture, while AI can't. All you have to do is look at the art AI produces, with the weird smiles, the multiple hands and making everythink look like a Picasso but without the inherent talent to know this is true.
This is a series of continued musings as I try to figure out how AI could impact my life, both as an English instructor and as a technical writer.
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